Fully Funded PhD Studentship: Multimodal AI-based Diagnosis of ADHD

Fully funded PhD studentship in Multimodal AI-based Diagnosis of ADHD at Plymouth University, UK. Apply now and gain experience in a collaborative environment.

We are pleased to announce a tax-free fully funded PhD studentship in Multimodal AI-based Diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) at Plymouth University, UK.

This project aims to transform ADHD diagnosis by developing a multimodal Artificial Intelligence (AI) framework that addresses the significant limitations of current, subjective diagnostic practices.

• Explore the integration of machine learning and deep learning models with various data types like neuroimaging to uncover distinct ADHD diagnostic patterns.
• Analyze fMRI data to delineate active brain regions and their connections, and link these findings to ADHD behaviors and cognitive functions.
• Refine AI models to handle high data dimensionality and heterogeneity and enhance decision-making transparency in clinical settings using Explainable AI (XAI) methods.
• Assess the robustness of AI models against the variability in ADHD diagnostic data.

Apply now and gain experience in a highly collaborative environment supported by a strong supervisory team and international experts. More details about the topic and how to apply are available at: https://www.plymouth.ac.uk/study/research-degrees/postgraduate-research-studentships/multimodal-ai-based-diagnosis-of-attention-deficit-hyperactivity-disorder-adhd

Tags: PhD studentship, Multimodal AI, ADHD diagnosis, Artificial Intelligence, Machine Learning, Deep Learning, Neuroimaging, fMRI, Explainable AI, XAI